AS
Apify Store
/zhorex/sports-odds-aggregator
Sports Betting Odds Scraper — Tennis, Soccer + 5K Props
Scrape live and pre-match betting odds from Pinnacle and Bovada — sharp baseline plus the largest US offshore book, keyless, no login. Moneyline, spreads, totals, 5K+ specials and props markets, de-vi
liveasyncunknown~30s typical
sportsautomationdeveloper toolsoddsaggregator
$0.013
per result + $0.005 call
plus $0.001 platform fee per run
Actor charges $0.01 per result; Cracked adds 25% plus a $0.005 call fee
Bring your own Apify Store key: provider portion drops to $0.
$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run apify /zhorex/sports-odds-aggregator for me.
Input
| Field | Type | Description |
|---|---|---|
| books | array | Which sportsbooks to pull odds from. Pinnacle is the canonical sharp-line book and works on datacenter or residential proxy without auth. Bet365 support is temporarily UNDER REPAIR (their public mobile-web endpoints recently changed — a defensive patch is in active development; selecting Bet365 right now returns 0 events while the new path is published). US books (DraftKings / FanDuel / BetMGM) are intentionally out of scope: they require US residential proxy. <b>Kambi</b> covers the Unibet/Paf/Betsson family from one public feed — add it alongside Pinnacle to get cross-book best-price comparison and to keep the feed alive if any single book closes its doors. Bovada is the largest US offshore book: keyless JSON verified from datacenter IPs, pre-match and live moneyline/spread/total across 6+ sports — the offshore market view next to Pinnacle's sharp baseline. default ["pinnacle"] |
| sports | array | Which sports to query. These are Pinnacle's own top-level categories, not league names — the leagues inside each one rotate with the calendar, so pick the category and read the `league` field on the rows. Measured 2026-08-21 (fixtures / specials, and what was actually inside): soccer 1,716 / 19,901 (by far the deepest shelf, worldwide); american_football_intl 78 / 311 (NCAA + NFL); tennis 48 / 2 (ATP, WTA, Challenger, ITF — runs year-round); mma 45 / 139 (UFC, PFL); basketball 31 / 93; baseball 29 / 827 (MLB, NPB Japan); esports 28 / 32 (LCK, NACL); rugby_league 7; ice_hockey 6; rugby_union 5; cricket 3. NOTE the US seasons: NBA and NHL fixtures only appear from roughly October, so in summer those two categories return the southern-hemisphere and European leagues instead. Soccer and tennis are the highest-liquidity, sharpest-priced markets year-round. Empty selections waste a run budget — if a sport comes back with nothing, the run status now says so explicitly. default ["soccer","tennis"] |
| leagueFilter | array | Optional league codes / display-name fragments to whitelist (e.g. 'EPL', 'UEFA', 'ATP', 'NBA'). Empty = all leagues for the chosen sports. Case-insensitive substring match against the book's league label. default [] |
| marketTypes | array | Which betting markets to extract per event. 'h2h' (moneyline) is the canonical sharp market. 'spreads' (handicap) and 'totals' (over/under) drive most EV-modelling pipelines. 'specials' enables Pinnacle's futures / yes-no / first-team-to-score / exact-totals / team-props markets (premium $0.05 tier — there are 5,000+ specials per major sport, so use maxEventsPerSport to control volume). 'player_props' is the Bet365-only player-prop tier (premium $0.05 — currently returns empty while Bet365 mode is under repair). default ["h2h","spreads","totals"] |
| mode | string (pre_match_only | live_only | pre_match_and_live) | 'pre_match_only' (default) returns scheduled fixtures and is the cheapest, most-common workflow (5-15 min cadence). 'live_only' returns in-play markets — premium pricing tier; use with scheduled runs at ≤5 min cadence. 'pre_match_and_live' covers both, useful for arb finders that want to compare scheduled vs in-play lines. default "pre_match_only" |
| priceFormat | string (decimal | american | fractional) | Output price format. 'decimal' (1.91) is the sharp / EU standard and is most convenient for implied-probability math; the actor ALWAYS computes the other two as well so all three fields are always populated. default "decimal" |
| maxEventsPerSport | integer | Safety cap on number of events extracted per (book, sport) pair. Multiply by ~5-10 market-outcomes per event to estimate snapshot volume per run. default 50 |
| includeAlternateLines | boolean | Pinnacle only. Off by default. When on, the whole alternate ladder is returned — every extra handicap and total, not just the primary line (e.g. spread -1.5 / -1.0 / -0.5 alongside the main one). It costs no extra request, but it multiplies BILLED rows, and HOW MUCH depends on how many events you take. Measured 2026-08-07: across a full pre-match sweep it is about ×1.7 (×1.66 soccer, ×2.59 tennis, ×3.24 basketball, ×1.58 baseball, ×1.00 ice hockey), but with maxEventsPerSport=10 the same run went 42 → 354 rows, i.e. ×8.4 — the fewer events you take, the larger the share that is ladder. Check your first run's row count before scaling up. Rows carry `isAlternate` so you can filter, and `marketKey` so two rungs at the same line stay distinguishable. default false |
| includeBestPriceFlag | boolean | When ≥2 books are selected, mark exactly one outcome per (event, market, outcome) as the best price across the chosen books. This is the foundation for any 2-way arbitrage workflow. default true |
| deduplicationWindowSeconds | integer | If a price hasn't changed within this many seconds, suppress the duplicate snapshot — keeps PPE cost down on cron runs where most lines are stable. Set to 0 to disable and emit every snapshot. default 30 |
| cookieStrings | object | Optional. Object keyed by book name ({ 'bet365': '...', 'pinnacle': '...' }) with raw cookie headers from your browser DevTools to raise per-IP rate limits on heavy runs. NOT required for typical workloads — both books work anonymously. |
| proxyConfiguration | object | Leave this as it comes. The default (Apify Proxy, automatic selection) uses datacenter IPs, which is the right cost/quality point for both books — residential burns roughly 20x the proxy cost with no quality lift. Do NOT set apifyProxyGroups to "DATACENTER": that is not a real Apify group name and the run will refuse to start. If the run log shows repeated "unhealthy (code=403)" lines and a sport comes back empty, the exit range is being blocked by the book — switch apifyProxyGroups to ["RESIDENTIAL"] for that run. default {"useApifyProxy":true} |
| includeFairOdds | boolean | Compute the vig-free fair probability + fair decimal odds (no-vig / CLV benchmark) for every market line and add them to each row (noVigFairPrice, noVigProb, overround) — the standard baseline for spotting +EV prices at softer books and for model calibration. Opt-in premium: from 8 Aug 2026 this charges the fair-odds-enrichment event ($0.05) per enriched snapshot, on top of the base snapshot price. Leave off for raw odds only. default false |
| includeLineMovement | boolean | Adds movement fields to every snapshot by comparing the price to the last one this account's runs saw for the same market-outcome: previousPrice, priceChange, priceChangePct, impliedProbChange, moveDirection (shortened / drifted / unchanged), secondsSincePreviousPrice, plus firstSeenPrice and moveSinceFirstSeen for movement since the first observation. Free — it reuses the state the dedup window already keeps, so there is no extra request and no extra charge. Fields appear from your SECOND run of a market onward (the first run has nothing to compare to). default true |
Call it
curl
curl https://cracked-ai-pearl.vercel.app/v1/run \
-H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
-d '{"provider":"apify","endpoint":"/zhorex/sports-odds-aggregator","input":{"books":["pinnacle"],"sports":["soccer","tennis"],"marketTypes":["h2h","spreads"],"mode":"pre_match_only"},"wait":false}'poll
curl "https://cracked-ai-pearl.vercel.app/v1/runs/<runId>?wait=30" -H "Authorization: Bearer ck_live_..."cli
npx cracked-ai run -p apify -e /zhorex/sports-odds-aggregator -i '{"books":["pinnacle"],"sports":["soccer","tennis"],"marketTypes":["h2h","spreads"],"mode":"pre_match_only"}' -w 120mcp
run_tool({ provider: "apify", endpoint: "/zhorex/sports-odds-aggregator", input: {"books":["pinnacle"],"sports":["soccer","tennis"],"marketTypes":["h2h","spreads"],"mode":"pre_match_only"}, wait: false })Try it
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